Research map / Detection and segmentation / CNN features
Reinforcement Learning for Visual Object Detection
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| Replace exhaustive sliding-window search with learned sequential region search | Object detection on PASCAL VOC 2012 · PASCAL VOC 2012 test | mean detection AP (%): 31.2 -> 27.0 | Hurt |
| Replace exhaustive sliding-window search with learned sequential region search | Object detection on PASCAL VOC 2012 · PASCAL VOC 2012 test | speedup over SW: 69.6 | Helped |
| Use learned sequential search instead of exhaustive region-proposal search | Object detection on PASCAL VOC 2012 · PASCAL VOC 2012 test | mean detection AP (%): 30.3 -> 27.0 | Hurt |
| Use learned sequential search instead of exhaustive region-proposal search | Object detection on PASCAL VOC 2012 · PASCAL VOC 2012 test | speedup over RP: 8.0 | Helped |
| Tune the reward trade-off for accuracy rather than the reported speed target | RL · PASCAL VOC 2012 test | detection AP | No clear effect |
Closest papers by meaning
- Learn How to See: Collaborative Embodied Learning for Object Detection and Camera Adjusting (AAAI 2024 · similarity 0.87)
- TTRV: Test-Time Reinforcement Learning for Vision Language Models (CVPR 2026 · similarity 0.86)
- OVOD-Agent: A Markov-Bandit Framework for Proactive Visual Reasoning and Self-Evolving Detection (CVPR 2026 · similarity 0.86)
- LookThere! Sparse Vision by Reinforced Selection (NeurIPS 2026 · similarity 0.85)
- Scale Optimization Using Evolutionary Reinforcement Learning for Object Detection on Drone Imagery (AAAI 2024 · similarity 0.85)
- Adaptive Important Region Selection with Reinforced Hierarchical Search for Dense Object Detection (NeurIPS 2024 · similarity 0.85)
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